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Zhang L, Chen J, Lai X, Zhang X, Xu J. Dual-phenotype hepatocellular carcinoma: correlation of MRI features with other primary hepatocellular carcinoma and differential diagnosis. Front Oncol 2024; 13:1253873. [PMID: 38273849 PMCID: PMC10808764 DOI: 10.3389/fonc.2023.1253873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 12/18/2023] [Indexed: 01/27/2024] Open
Abstract
Objectives Dual-phenotype hepatocellular carcinoma (DPHCC) is a rare subtype of hepatocellular carcinoma characterized by high invasiveness and a poor prognosis. The study aimed to compare clinical and magnetic resonance imaging (MRI) features of DPHCC with that of non-DPHCC and intrahepatic cholangiocarcinoma (ICC), exploring the most valuable features for diagnosing DPHCC. Methods A total of 208 cases of primary liver cancer, comprising 27 DPHCC, 113 non-DPHCC, and 68 ICC, who undergone gadoxetic acid-enhanced MRI, were enrolled in this study. The clinicopathologic and MRI features of all cases were summarized and analyzed. Univariate and multivariate logistic regression analyses were conducted to identify the predictors. Kaplan-Meier survival analysis was used to evaluate the 1-year and 2-year disease-free survival (DFS) and overall survival (OS) rates in the cohorts. Results In the multivariate analysis, the absence of tumor capsule (P = 0.046; OR = 9.777), persistent enhancement (P = 0.006; OR = 46.941), arterial rim enhancement (P = 0.011; OR = 38.211), and target sign on DWI image (P = 0.021; OR = 30.566) were identified as independently significant factors for distinguishing DPHCC from non-DPHCC. Serum alpha-fetoprotein (AFP) >20 μg/L (P = 0.036; OR = 67.097) and hepatitis B virus (HBV) positive (P = 0.020; OR = 153.633) were independent significant factors for predicting DPHCC compared to ICC. The 1-year and 2-year DFS rates for patients in the DPHCC group were 65% and 50%, respectively, whereas those for the non-DPHCC group were 80% and 60% and for the ICC group were 50% and 29%, respectively. The 1-year and 2-year OS rates for patients in the DPHCC group were 74% and 60%, respectively, whereas those for the non-DPHCC group were 87% and 70% and for the ICC group were 55% and 37%, respectively. Kaplan-Meier survival analysis revealed significant differences in the 1-year and 2-year OS rates between the DPHCC and non-DPHCC groups (P = 0.030 and 0.027) as well as between the DPHCC and ICC groups (P = 0.029 and 0.016). Conclusion In multi-parameter MRI, combining the assessment of the absence of tumor capsule, persistent enhancement, arterial rim enhancement, and target sign on DWI image with clinical data such as AFP >20 μg/L and HBV status may support in the diagnosis of DPHCC and differentiation from non-DPHCC and ICC. Accurate preoperative diagnosis facilitates the selection of personalized treatment options.
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Affiliation(s)
- Liqing Zhang
- Department of Radiology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China
| | - Jing Chen
- Department of Radiology, Shulan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University Shulan International Medical College, Hangzhou, China
| | - Xufeng Lai
- Department of Radiology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China
| | - Xiaoqian Zhang
- Department of Radiology, Shulan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University Shulan International Medical College, Hangzhou, China
| | - Jianfeng Xu
- Department of Radiology, Shulan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University Shulan International Medical College, Hangzhou, China
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Ruff SM, Cloyd JM, Pawlik TM. Annals of Surgical Oncology Practice Guidelines Series: Management of Primary Liver and Biliary Tract Cancers. Ann Surg Oncol 2023; 30:7935-7949. [PMID: 37691030 DOI: 10.1245/s10434-023-14255-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 08/22/2023] [Indexed: 09/12/2023]
Abstract
Primary cancers of the liver and biliary tract are rare and aggressive tumors that often present with locally advanced or metastatic disease. For patients with localized disease amenable to resection, surgery typically offers the best chance at curative-intent therapy. Unfortunately, the incidence of recurrence even after curative-intent surgery remains high. In turn, patients with hepatobiliary cancers commonly require multimodality therapy including a combination of resection, systemic therapy (i.e., targeted therapy, cytotoxic chemotherapy, immunotherapy), and/or loco-regional therapies. With advancements in the field, it is crucial for surgical oncologists to remain updated on the latest guidelines and recommendations for surgical management and optimal patient selection. Given the complex and evolving nature of treatment, this report highlights the latest practice guidelines for the surgical management of hepatobiliary cancers.
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Affiliation(s)
- Samantha M Ruff
- Division of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA
| | - Jordan M Cloyd
- Division of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA
| | - Timothy M Pawlik
- Division of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA.
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3
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Gu HX, Huang XS, Xu JX, Zhu P, Xu JF, Fan SF. Diagnostic Value of MRI Features in Dual-phenotype Hepatocellular Carcinoma: A Preliminary Study. J Digit Imaging 2023; 36:2554-2566. [PMID: 37578576 PMCID: PMC10584802 DOI: 10.1007/s10278-023-00888-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 07/20/2023] [Accepted: 07/21/2023] [Indexed: 08/15/2023] Open
Abstract
This study aimed to explore the magnetic resonance imaging (MRI) features of dual-phenotype hepatocellular carcinoma (DPHCC) and their diagnostic value.The data of 208 patients with primary liver cancer were retrospectively analysed between January 2016 and June 2021. Based on the pathological diagnostic criteria, 27 patients were classified into the DPHCC group, 113 patients into the noncholangiocyte-phenotype hepatocellular carcinoma (NCPHCC) group, and 68 patients with intrahepatic cholangiocarcinoma (ICC) were classified into the ICC group. Two abdominal radiologists reviewed the preoperative MRI features by a double-blind method. The MRI features and key laboratory and clinical indicators were compared between the groups. The potentially valuable MRI features and key laboratory and clinical characteristics for predicting DPHCC were identified by univariate and multivariate analyses, and the odds ratios (ORs) were recorded. In multivariate analysis, tumour without capsule (P = 0.046, OR = 9.777), dynamic persistent enhancement (P = 0.006, OR = 46.941), and targetoid appearance on diffusion-weighted imaging (DWI) (P = 0.021, OR = 30.566) were independently significant factors in the detection of DPHCC compared to NCPHCC. Serum alpha-fetoprotein (AFP) > 20 µg/L (P = 0.036, OR = 67.097) and prevalence of hepatitis B virus (HBV) infection (P = 0.020, OR = 153.633) were independent significant factors in predicting DPHCC compared to ICC. The differences in other tumour marker levels and imaging features between the groups were not significant. In MR enhanced and diffusion imaging, tumour without capsule, persistent enhancement and DWI targetoid findings, combined with AFP > 20 µg/L and HBV infection-positive laboratory results, can help to diagnose DPHCC and differentiate it from NCPHCC and ICC. These results suggest that clinical, laboratory and MRI features should be integrated to construct an AI diagnostic model for DPHCC.
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Affiliation(s)
- Hong-Xian Gu
- Radiology Department, Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310005, China
- Department of Radiology, the People's Hospital of Jianyang City, Chengdu, 641499, China
| | - Xiao-Shan Huang
- Radiology Department, Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310005, China
| | - Jian-Xia Xu
- Radiology Department, Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310005, China
| | - Ping Zhu
- Radiology Department, Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310005, China
| | - Jian-Feng Xu
- Department of Radiology, Shulan (Hangzhou) Hospital, Hangzhou, 310000, China.
| | - Shu-Feng Fan
- Radiology Department, Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310005, China.
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4
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Cerrito L, Ainora ME, Borriello R, Piccirilli G, Garcovich M, Riccardi L, Pompili M, Gasbarrini A, Zocco MA. Contrast-Enhanced Imaging in the Management of Intrahepatic Cholangiocarcinoma: State of Art and Future Perspectives. Cancers (Basel) 2023; 15:3393. [PMID: 37444503 PMCID: PMC10341250 DOI: 10.3390/cancers15133393] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 06/23/2023] [Accepted: 06/25/2023] [Indexed: 07/15/2023] Open
Abstract
Intrahepatic cholangiocarcinoma (iCCA) represents the second most common liver cancer after hepatocellular carcinoma, accounting for 15% of primary liver neoplasms. Its incidence and mortality rate have been rising during the last years, and total new cases are expected to increase up to 10-fold during the next two or three decades. Considering iCCA's poor prognosis and rapid spread, early diagnosis is still a crucial issue and can be very challenging due to the heterogeneity of tumor presentation at imaging exams and the need to assess a correct differential diagnosis with other liver lesions. Abdominal contrast-enhanced computed tomography (CT) and magnetic resonance imaging (MRI) plays an irreplaceable role in the evaluation of liver masses. iCCA's most typical imaging patterns are well-described, but atypical features are not uncommon at both CT and MRI; on the other hand, contrast-enhanced ultrasound (CEUS) has shown a great diagnostic value, with the interesting advantage of lower costs and no renal toxicity, but there is still no agreement regarding the most accurate contrastographic patterns for iCCA detection. Besides diagnostic accuracy, all these imaging techniques play a pivotal role in the choice of the therapeutic approach and eligibility for surgery, and there is an increasing interest in the specific imaging features which can predict tumor behavior or histologic subtypes. Further prognostic information may also be provided by the extraction of quantitative data through radiomic analysis, creating prognostic multi-parametric models, including clinical and serological parameters. In this review, we aim to summarize the role of contrast-enhanced imaging in the diagnosis and management of iCCA, from the actual issues in the differential diagnosis of liver masses to the newest prognostic implications.
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Affiliation(s)
| | - Maria Elena Ainora
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, Università Cattolica del Sacro Cuore, 00168 Rome, Italy; (L.C.); (R.B.); (G.P.); (M.G.); (L.R.); (M.P.); (A.G.); (M.A.Z.)
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De Muzio F, Grassi F, Dell’Aversana F, Fusco R, Danti G, Flammia F, Chiti G, Valeri T, Agostini A, Palumbo P, Bruno F, Cutolo C, Grassi R, Simonetti I, Giovagnoni A, Miele V, Barile A, Granata V. A Narrative Review on LI-RADS Algorithm in Liver Tumors: Prospects and Pitfalls. Diagnostics (Basel) 2022; 12:1655. [PMID: 35885561 PMCID: PMC9319674 DOI: 10.3390/diagnostics12071655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 06/27/2022] [Accepted: 07/05/2022] [Indexed: 11/16/2022] Open
Abstract
Liver cancer is the sixth most detected tumor and the third leading cause of tumor death worldwide. Hepatocellular carcinoma (HCC) is the most common primary liver malignancy with specific risk factors and a targeted population. Imaging plays a major role in the management of HCC from screening to post-therapy follow-up. In order to optimize the diagnostic-therapeutic management and using a universal report, which allows more effective communication among the multidisciplinary team, several classification systems have been proposed over time, and LI-RADS is the most utilized. Currently, LI-RADS comprises four algorithms addressing screening and surveillance, diagnosis on computed tomography (CT)/magnetic resonance imaging (MRI), diagnosis on contrast-enhanced ultrasound (CEUS) and treatment response on CT/MRI. The algorithm allows guiding the radiologist through a stepwise process of assigning a category to a liver observation, recognizing both major and ancillary features. This process allows for characterizing liver lesions and assessing treatment. In this review, we highlighted both major and ancillary features that could define HCC. The distinctive dynamic vascular pattern of arterial hyperenhancement followed by washout in the portal-venous phase is the key hallmark of HCC, with a specificity value close to 100%. However, the sensitivity value of these combined criteria is inadequate. Recent evidence has proven that liver-specific contrast could be an important tool not only in increasing sensitivity but also in diagnosis as a major criterion. Although LI-RADS emerges as an essential instrument to support the management of liver tumors, still many improvements are needed to overcome the current limitations. In particular, features that may clearly distinguish HCC from cholangiocarcinoma (CCA) and combined HCC-CCA lesions and the assessment after locoregional radiation-based therapy are still fields of research.
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Affiliation(s)
- Federica De Muzio
- Department of Medicine and Health Sciences V. Tiberio, University of Molise, 86100 Campobasso, Italy;
| | - Francesca Grassi
- Division of Radiology, Università degli Studi della Campania Luigi Vanvitelli, 81100 Naples, Italy; (F.G.); (F.D.); (R.G.)
| | - Federica Dell’Aversana
- Division of Radiology, Università degli Studi della Campania Luigi Vanvitelli, 81100 Naples, Italy; (F.G.); (F.D.); (R.G.)
| | - Roberta Fusco
- Medical Oncology Division, Igea SpA, 80013 Naples, Italy
| | - Ginevra Danti
- Division of Radiology, Azienda Ospedaliera Universitaria Careggi, 50134 Florence, Italy; (G.D.); (F.F.); (G.C.); (V.M.)
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (P.P.); (F.B.)
| | - Federica Flammia
- Division of Radiology, Azienda Ospedaliera Universitaria Careggi, 50134 Florence, Italy; (G.D.); (F.F.); (G.C.); (V.M.)
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (P.P.); (F.B.)
| | - Giuditta Chiti
- Division of Radiology, Azienda Ospedaliera Universitaria Careggi, 50134 Florence, Italy; (G.D.); (F.F.); (G.C.); (V.M.)
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (P.P.); (F.B.)
| | - Tommaso Valeri
- Department of Clinical Special and Dental Sciences, University Politecnica delle Marche, 60126 Ancona, Italy; (T.V.); (A.A.); (A.G.)
- Department of Radiological Sciences, University Hospital Ospedali Riuniti, Via Tronto 10/a, 60126 Torrette, Italy
| | - Andrea Agostini
- Department of Clinical Special and Dental Sciences, University Politecnica delle Marche, 60126 Ancona, Italy; (T.V.); (A.A.); (A.G.)
- Department of Radiological Sciences, University Hospital Ospedali Riuniti, Via Tronto 10/a, 60126 Torrette, Italy
| | - Pierpaolo Palumbo
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (P.P.); (F.B.)
- Area of Cardiovascular and Interventional Imaging, Department of Diagnostic Imaging, Abruzzo Health Unit 1, 67100 L’Aquila, Italy
| | - Federico Bruno
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (P.P.); (F.B.)
- Emergency Radiology, San Salvatore Hospital, Via Lorenzo Natali 1, 67100 L’Aquila, Italy;
| | - Carmen Cutolo
- Department of Medicine, Surgery and Dentistry, University of Salerno, 84084 Fisciano, Italy;
| | - Roberta Grassi
- Division of Radiology, Università degli Studi della Campania Luigi Vanvitelli, 81100 Naples, Italy; (F.G.); (F.D.); (R.G.)
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (P.P.); (F.B.)
| | - Igino Simonetti
- Radiology Division, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Via Mariano Semmola, 80131 Naples, Italy; (I.S.); (V.G.)
| | - Andrea Giovagnoni
- Department of Clinical Special and Dental Sciences, University Politecnica delle Marche, 60126 Ancona, Italy; (T.V.); (A.A.); (A.G.)
- Department of Radiological Sciences, University Hospital Ospedali Riuniti, Via Tronto 10/a, 60126 Torrette, Italy
| | - Vittorio Miele
- Division of Radiology, Azienda Ospedaliera Universitaria Careggi, 50134 Florence, Italy; (G.D.); (F.F.); (G.C.); (V.M.)
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (P.P.); (F.B.)
| | - Antonio Barile
- Emergency Radiology, San Salvatore Hospital, Via Lorenzo Natali 1, 67100 L’Aquila, Italy;
| | - Vincenza Granata
- Radiology Division, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Via Mariano Semmola, 80131 Naples, Italy; (I.S.); (V.G.)
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Zhao F, Pang G, Li X, Yang S, Zhong H. Value of perfusion parameters histogram analysis of triphasic CT in differentiating intrahepatic mass forming cholangiocarcinoma from hepatocellular carcinoma. Sci Rep 2021; 11:23163. [PMID: 34848818 PMCID: PMC8633216 DOI: 10.1038/s41598-021-02667-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 11/22/2021] [Indexed: 02/08/2023] Open
Abstract
We aim to gain further insight into identifying differential perfusion parameters and corresponding histogram parameters of intrahepatic mass-forming cholangiocarcinoma (IMCC) from hepatocellular carcinomas (HCCs) on triphasic computed tomography (CT) scans. 90 patients with pathologically confirmed HCCs (n = 54) and IMCCs (n = 36) who underwent triple-phase enhanced CT imaging were included. Quantitative analysis of CT images derived from triphasic CT scans were evaluated to generate liver perfusion and histogram parameters. The differential performances, including the area under the receiver operating characteristic curve (AUC), specificity, and sensitivity were assessed. The mean value, and all thepercentiles of the arterial enhancement fraction (AEF) were significantly higher in HCCs than in IMCCs. The difference in hepatic arterial blood supply perfusion (HAP) and AEF (ΔHAP = HAPtumor − HAPliver, ΔAEF = AEFtumor − AEFliver) for the mean perfusion parameters and all percentile parameters between tumor and peripheral normal liver were significantly higher in HCCs than in IMCCs. The relative AEF (rAEF = ΔAEF/AEFliver), including the mean value and all corresponding percentile parameters were statistically significant between HCCs and IMCCs. The 10th percentiles of the ΔAEF and rAEF had the highest AUC of 0.788 for differentiating IMCC from HCC, with sensitivities and specificities of 87.0%, 83.3%, and 61.8%, 64.7%, respectively. Among all parameters, the mean value of ∆AEF, the 75th percentiles of ∆AEF and rAEF, and the 25th percentile of HFtumor exhibited the highest sensitivities of 94.4%, while the 50th percentile of rAEF had the highest specificity of 82.4%. AEF (including ΔAEF and rAEF) and the corresponding histogram parameters derived from triphasic CT scans provided useful value and facilitated the accurate discrimination between IMCCs and HCCs.
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Affiliation(s)
- Fang Zhao
- Department of Radiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Guodong Pang
- Department of Radiology, The Second Hospital, Cheeloo College of Medicine, Shandong University, No.247, Beiyuan Road, Tianqiao District, Jinan, 250033, Shandong, China
| | - Xuejing Li
- Jinan Blood Center, Jinan, 250001, Shandong, China
| | - Shuo Yang
- Department of Radiology, The Second Hospital, Cheeloo College of Medicine, Shandong University, No.247, Beiyuan Road, Tianqiao District, Jinan, 250033, Shandong, China
| | - Hai Zhong
- Department of Radiology, The Second Hospital, Cheeloo College of Medicine, Shandong University, No.247, Beiyuan Road, Tianqiao District, Jinan, 250033, Shandong, China.
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Kim YY, Yeom SK, Shin H, Choi SH, Rhee H, Park JH, Cho ES, Park S, Lee SS, Park MS. Clinical Staging of Mass-Forming Intrahepatic Cholangiocarcinoma: Computed Tomography Versus Magnetic Resonance Imaging. Hepatol Commun 2021; 5:2009-2018. [PMID: 34559470 PMCID: PMC8631089 DOI: 10.1002/hep4.1774] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 06/04/2021] [Accepted: 06/09/2021] [Indexed: 02/06/2023] Open
Abstract
We compared the performance of computed tomography (CT) and magnetic resonance imaging (MRI) for preoperative clinical staging of mass‐forming intrahepatic cholangiocarcinoma (iCCA), using the eighth American Joint Committee on Cancer (AJCC) system. This retrospective, multicenter, cohort study consecutively identified patients who underwent partial hepatectomy for mass‐forming iCCA and had preoperative CT and MRI performed from January 2009 to December 2015. CT and MRI characteristics were used to determine clinical stage based on the eighth AJCC system. Performances of CT and MRI for clinical T and N staging were compared using generalized estimating equations. In 334 patients (median age, 63 years; 221 men), MRI sensitivities were significantly higher than CT sensitivities for detecting T1b or higher stages (91.0% vs. 80.5%, respectively, P < 0.001), T2 or higher stages (89.1% vs. 73.8%, respectively, P < 0.001), and T3 or T4 stage (77.8% vs. 58.0%, respectively, P < 0.001). MRI was also more sensitive at identifying multiple tumors than CT (66.7% vs. 50.0%, respectively, P = 0.026), without a significant difference in specificity (78.1% vs. 80.1%, respectively, P = 0.342). Sensitivities were comparable between CT and MRI for determination of size >5 cm (i.e., T1b for single tumor) and extrahepatic organ invasion (i.e., T4). Sensitivities of CT and MRI were not different for N stage (65.0% vs. 64.0%, respectively, P = 0.808), but the specificity of CT was significantly higher than that of MRI (80.7% vs. 72.9%, respectively, P = 0.001) when using a composite reference standard. Conclusion: MRI showed superior sensitivity to CT for diagnosing T2 and T3 stages, particularly multiple tumors. CT and MRI had comparable sensitivity for N staging, but CT provided higher specificity than MRI.
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Affiliation(s)
- Yeun-Yoon Kim
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Suk-Keu Yeom
- Department of Radiology, Korea University Ansan Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Hyejung Shin
- Biostatistics Collaboration Unit, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sang Hyun Choi
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Hyungjin Rhee
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Ji Hoon Park
- Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seoul, Republic of Korea
| | - Eun-Suk Cho
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sumi Park
- Department of Radiology, National Health Insurance Service Ilsan Hospital, Goyang, Republic of Korea
| | - Seung Soo Lee
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Mi-Suk Park
- Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
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Sutton TL, Billingsley KG, Walker BS, Fung AW, Maynard E, Enestvedt CK, Dewey EN, Brinkerhoff BT, Lopez CD, Orloff SL, Mayo SC. Detection of Tumor Multifocality in Resectable Intrahepatic Cholangiocarcinoma: Defining the Optimal Pre-operative Imaging Modality. J Gastrointest Surg 2021; 25:2250-2257. [PMID: 33565011 DOI: 10.1007/s11605-021-04911-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 01/09/2021] [Indexed: 01/31/2023]
Abstract
BACKGROUND Multiple tumor foci (MTF) in intrahepatic cholangiocarcinoma (ICC), including satellitosis and true multifocality, is a known negative prognostic factor and can inform pre-operative decision-making. Lack of standardized pre-operative liver staging practices may contribute to undiagnosed MTF and poor outcomes. We sought to investigate the sensitivity of different cross-sectional imaging modalities for MTF at our institution. METHODS We identified n = 52 patients with ICC who underwent curative-intent resection from 2004 to 2017 in a multidisciplinary hepato-pancreato-biliary cancer program. Timing and modality of pre-operative imaging were recorded. Blinded review of imaging was performed and modalities were evaluated for false-negative rate (FNR) in detecting MTF, satellitosis, and true multifocality. RESULTS Forty-one (79%) patients underwent CT and 20 (38%) underwent MRI prior to hepatectomy. MTF was pre-operatively identified in six (12%) patients. An additional seven patients had MTF discovered on final surgical pathology, despite a median interval from CT/MRI to surgery of 20 days. On blinded review the FNR of MRI compared to CT for multifocality was 0% vs. 38%, 50% vs 80% for satellitosis, and 22% vs 46% for MTF as a whole. CONCLUSION CT is inadequate for pre-operative diagnosis of MTF in resectable ICC, even when performed within 30 days of hepatectomy. We recommend liver-protocol MRI as the standard pre-operative imaging modality in non-metastatic ICC.
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Affiliation(s)
- Thomas L Sutton
- Department of Surgery, Division of Surgical Oncology, Oregon Heath & Science University (OHSU), 3181 SW Sam Jackson Park Rd, Mail Code: L-619, Portland, OR, 97239, USA
| | - Kevin G Billingsley
- Department of Surgery, Division of Surgical Oncology, Oregon Heath & Science University (OHSU), 3181 SW Sam Jackson Park Rd, Mail Code: L-619, Portland, OR, 97239, USA.,The Knight Cancer Institute at OHSU, Portland, OR, 97239, USA
| | - Brett S Walker
- Department of Surgery, Division of Surgical Oncology, Oregon Heath & Science University (OHSU), 3181 SW Sam Jackson Park Rd, Mail Code: L-619, Portland, OR, 97239, USA
| | - Alice W Fung
- The Knight Cancer Institute at OHSU, Portland, OR, 97239, USA.,Department of Radiology, OHSU, Portland, OR, 97239, USA
| | - Erin Maynard
- Department of Surgery, Division of Abdominal Organ Transplantation/Hepatobiliary Surgery, OHSU, Portland, OR, 97239, USA
| | - C Kristian Enestvedt
- Department of Surgery, Division of Abdominal Organ Transplantation/Hepatobiliary Surgery, OHSU, Portland, OR, 97239, USA
| | | | | | - Charles D Lopez
- The Knight Cancer Institute at OHSU, Portland, OR, 97239, USA.,Division of Hematology Oncology, OHSU, Portland, OR, 97239, USA
| | - Susan L Orloff
- Department of Surgery, Division of Abdominal Organ Transplantation/Hepatobiliary Surgery, OHSU, Portland, OR, 97239, USA
| | - Skye C Mayo
- Department of Surgery, Division of Surgical Oncology, Oregon Heath & Science University (OHSU), 3181 SW Sam Jackson Park Rd, Mail Code: L-619, Portland, OR, 97239, USA. .,The Knight Cancer Institute at OHSU, Portland, OR, 97239, USA.
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Zhou N, Hu A, Shi Z, Wang X, Zhu Q, Zhou Q, Ma J, Zhao F, Kong W, He J. Inter-observer agreement of computed tomography and magnetic resonance imaging on gross tumor volume delineation of intrahepatic cholangiocarcinoma: an initial study. Quant Imaging Med Surg 2021; 11:579-585. [PMID: 33532258 PMCID: PMC7779918 DOI: 10.21037/qims-19-1093] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Accepted: 09/28/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND Intrahepatic cholangiocarcinoma (ICC) is the second most common primary liver tumor, and local radiotherapy has a positive effect on patients with an unresectable tumor. Accurate delineation of gross tumor volume (GTV) is crucial to improve the efficacy of radiotherapy. The purpose of this article was to evaluate the consistency of CT, diffusion weighted imaging (DWI) and Gadoxetic acid disodium (Gd-EOB-DTPA)-enhanced MRI on GTV delineation of ICC. METHODS Fourteen patients with ICC underwent CT (Plain and Portal, CT scans before and 70 s after the injection of Omnipaque, respectively), DWI, and Gd-EOB-DTPA-enhanced MRI (EOB 70 s and EOB 15 min, mDIXON scans at 70 s and 15 min after the injection of Gd-EOB-DTPA, respectively) examinations before radiotherapy. Volumes of GTV delineation on CT and MRI images were recorded. Dice similarity coefficient (DSC) was calculated to evaluate the spatial overlap. RESULTS Tumor volume on DWI and EOB 15 min were larger than that on EOB 70 s significantly (both P=0.004). DSC of DWI was significantly larger than that of other CT and MRI sequences (all P≤0.002). DSC of EOB 15 min tended to be larger than that of other CT sequences and EOB 70 s, however, without significances (all P>0.005). Significant correlation was found between DSC and tumor volume (R=0.35, P=0.003). CONCLUSIONS DWI had significantly higher agreement on GTV delineation of ICC. GTV delineations of ICC on Gd-EOB-DTPA-enhanced MRI showed excellent inter-observer agreement. Fusion of CT and MRI images should be considered to improve the accuracy of GTV delineation.
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Affiliation(s)
- Nan Zhou
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Anning Hu
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Zhihao Shi
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Xiaolu Wang
- The Comprehensive Cancer Centre of Drum Tower Hospital, Medical School of Nanjing University & Clinical Cancer Institute of Nanjing University, Nanjing, China
| | - Qiongjie Zhu
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Qun Zhou
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Jun Ma
- Department of Mathematics, Nanjing University of Science and Technology, Nanjing, China
| | - Feng Zhao
- Department of Radiation Oncology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Weiwei Kong
- The Comprehensive Cancer Centre of Drum Tower Hospital, Medical School of Nanjing University & Clinical Cancer Institute of Nanjing University, Nanjing, China
- Department of Oncology of Yizheng Hospital, Nanjing Drum Tower Hospital Group, Yizheng, China
| | - Jian He
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
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10
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Yang Y, Liu C, Qi L, Zhao T, Feng Y, Ai X, Zhao X, Li J, Zhu Q. Diagnosis of Pre-HCC Disease by Hepatobiliary-Specific Contrast-Enhanced Magnetic Resonance Imaging: A Review. Dig Dis Sci 2020; 65:2492-2502. [PMID: 31808004 DOI: 10.1007/s10620-019-05981-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Accepted: 11/27/2019] [Indexed: 12/14/2022]
Abstract
We first proposed a new concept, pre-hepatocellular carcinoma (HCC) disease, to describe the precancerous condition of HCC, which has received scant attention from clinicians. Pre-HCC disease is defined as chronic liver injury concurrent with hepatic low- or high-grade dysplastic nodular lesions. Precise diagnosis of pre-HCC disease may prevent or arrest HCC and contribute to relieving the HCC burden worldwide, although noninvasive diagnosis is difficult and biopsy is generally required. Fortunately, recent advances and extensive applications of hepatobiliary-specific contrast-enhanced magnetic resonance imaging will facilitate the noninvasive identification and characterization of pre-HCC disease. This review briefly discusses the new concept of pre-HCC disease and offers an overview of the role of hepatobiliary-specific contrast-enhanced magnetic resonance imaging for the diagnosis of pre-HCC disease.
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Affiliation(s)
- Yao Yang
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China
- Shandong Provincial Engineering and Technological Research Center for Liver Disease Prevention and Control, Jinan, Shandong Province, China
| | - Chenxi Liu
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China
- Shandong Provincial Engineering and Technological Research Center for Liver Disease Prevention and Control, Jinan, Shandong Province, China
| | - Linyu Qi
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China
- Shandong Provincial Engineering and Technological Research Center for Liver Disease Prevention and Control, Jinan, Shandong Province, China
| | - Tong Zhao
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China
- Shandong Provincial Engineering and Technological Research Center for Liver Disease Prevention and Control, Jinan, Shandong Province, China
| | - Yuemin Feng
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China
- Shandong Provincial Engineering and Technological Research Center for Liver Disease Prevention and Control, Jinan, Shandong Province, China
| | - Xin Ai
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China
- Shandong Provincial Engineering and Technological Research Center for Liver Disease Prevention and Control, Jinan, Shandong Province, China
| | - Xinya Zhao
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China
| | - Jie Li
- Department of Infectious Disease, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China
| | - Qiang Zhu
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China.
- Shandong Provincial Engineering and Technological Research Center for Liver Disease Prevention and Control, Jinan, Shandong Province, China.
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11
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Malla RR, Kumari S, Kgk D, Momin S, Nagaraju GP. Nanotheranostics: Their role in hepatocellular carcinoma. Crit Rev Oncol Hematol 2020; 151:102968. [DOI: 10.1016/j.critrevonc.2020.102968] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Revised: 03/24/2020] [Accepted: 04/15/2020] [Indexed: 12/14/2022] Open
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12
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Jiang H, Liu X, Chen J, Wei Y, Lee JM, Cao L, Wu Y, Duan T, Li X, Ma L, Song B. Man or machine? Prospective comparison of the version 2018 EASL, LI-RADS criteria and a radiomics model to diagnose hepatocellular carcinoma. Cancer Imaging 2019; 19:84. [PMID: 31806050 PMCID: PMC6896342 DOI: 10.1186/s40644-019-0266-9] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 11/19/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The Liver Imaging Reporting and Data System (LI-RADS) and European Association for the Study of the Liver (EASL) criteria are widely used for diagnosing hepatocellular carcinoma (HCC). Radiomics allows further quantitative tumor heterogeneity profiling. This study aimed to compare the diagnostic accuracies of the version 2018 (v2018) EASL, LI-RADS criteria and radiomics models for HCC in high-risk patients. METHODS Ethical approval by the institutional review board and informed consent were obtained for this study. From July 2015 to September 2018, consecutive high-risk patients were enrolled in our tertiary care hospital and underwent gadoxetic acid-enhanced magnetic resonance (MR) imaging and subsequent hepatic surgery. We constructed a multi-sequence-based three-dimensional whole-tumor radiomics signature by least absolute shrinkage and selection operator model and multivariate logistic regression analysis. The diagnostic accuracies of the radiomics signature was validated in an independent cohort and compared with the EASL and LI-RADS criteria reviewed by two independent radiologists. RESULTS Two hundred twenty-nine pathologically confirmed nodules (173 HCCs, mean size: 5.74 ± 3.17 cm) in 211 patients were included. Among them, 201 patients (95%) were infected with hepatitis B virus (HBV). The sensitivity and specificity were 73 and 71% for the radiomics signature, 91 and 71% for the EASL criteria, and 86 and 82% for the LI-RADS criteria, respectively. The areas under the receiver operating characteristic curves (AUCs) of the radiomics signature (0.810), LI-RADS (0.841) and EASL criteria (0.811) were comparable. CONCLUSIONS In HBV-predominant high-risk patients, the multi-sequence-based MR radiomics signature, v2018 EASL and LI-RADS criteria demonstrated comparable overall accuracies for HCC.
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Affiliation(s)
- Hanyu Jiang
- Department of Radiology, Sichuan University West China Hospital, No. 37 GUOXUE Alley, Chengdu, 610041, Sichuan, China
| | - Xijiao Liu
- Department of Radiology, Sichuan University West China Hospital, No. 37 GUOXUE Alley, Chengdu, 610041, Sichuan, China
| | - Jie Chen
- Department of Radiology, Sichuan University West China Hospital, No. 37 GUOXUE Alley, Chengdu, 610041, Sichuan, China
| | - Yi Wei
- Department of Radiology, Sichuan University West China Hospital, No. 37 GUOXUE Alley, Chengdu, 610041, Sichuan, China
| | - Jeong Min Lee
- Department of Radiology & Institute of Radiation Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Likun Cao
- Department of Radiology, Sichuan University West China Hospital, No. 37 GUOXUE Alley, Chengdu, 610041, Sichuan, China
| | - Yuanan Wu
- Big data research center, University of Electronic Science and Technology of China, No. 2006 XIYUAN Avenue, West Hi-tech Zone, Chengdu, 610000, Sichuan, China
| | - Ting Duan
- Department of Radiology, Sichuan University West China Hospital, No. 37 GUOXUE Alley, Chengdu, 610041, Sichuan, China
| | - Xin Li
- GE Healthcare, No.1 HUOTUO Road, Zhangjiang Hi-Tech Park, Pudong, Shanghai, 200000, China
| | - Ling Ma
- GE Healthcare, No.1 HUOTUO Road, Zhangjiang Hi-Tech Park, Pudong, Shanghai, 200000, China
| | - Bin Song
- Department of Radiology, Sichuan University West China Hospital, No. 37 GUOXUE Alley, Chengdu, 610041, Sichuan, China.
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13
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Assessment of primary liver carcinomas other than hepatocellular carcinoma (HCC) with LI-RADS v2018: comparison of the LI-RADS target population to patients without LI-RADS-defined HCC risk factors. Eur Radiol 2019; 30:996-1007. [DOI: 10.1007/s00330-019-06448-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 08/12/2019] [Accepted: 09/10/2019] [Indexed: 12/20/2022]
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14
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Galle PR, Forner A, Llovet JM, Mazzaferro V, Piscaglia F, Raoul JL, Schirmacher P, Vilgrain V. EASL Clinical Practice Guidelines: Management of hepatocellular carcinoma. J Hepatol 2018; 69:182-236. [PMID: 29628281 DOI: 10.1016/j.jhep.2018.03.019] [Citation(s) in RCA: 5907] [Impact Index Per Article: 843.9] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Accepted: 03/20/2018] [Indexed: 02/06/2023]
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15
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Wei Y, Gao F, Zheng D, Huang Z, Wang M, Hu F, Chen C, Duan T, Chen J, Cao L, Song B. Intrahepatic cholangiocarcinoma in the setting of HBV-related cirrhosis: Differentiation with hepatocellular carcinoma by using Intravoxel incoherent motion diffusion-weighted MR imaging. Oncotarget 2018; 9:7975-7983. [PMID: 29487707 PMCID: PMC5814274 DOI: 10.18632/oncotarget.23807] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Accepted: 11/13/2017] [Indexed: 02/05/2023] Open
Abstract
Accurate preoperative differentiation of intrahepatic cholangiocarcinoma (ICC) and hepatocellular carcinoma (HCC) in the setting of cirrhotic liver is of great clinical significance because the treatment and prognosis of these entities differ markedly. Through a retrospectively research, we sought to determine the diagnostic performances of intravoxel incoherent motion (IVIM) and diffusion weighted imaging (DWI) parameters in the differentiating of ICC and HCC. According to the results, we found that apparent diffusion coefficient (ADC) derived from mono-exponential model and true ADC (ADCslow) derived from bi-exponential model can be used to distinguish the ICC and HCC, and ADCslowentailed the higher diagnostic performance than ADC. However, pseudo-ADC (ADCfast) and perfusion fraction (f) can not be used to differentiate ICC and HCC. These results suggested that IVIM and DWI parameters can be useful in differentiating ICC and HCC and might be helpful in selecting the treatment plan and predicting prognosis.
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Affiliation(s)
- Yi Wei
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Feifei Gao
- Department of Radiology, Henan Provincial People's Hospital, Zhengzhou, China
| | | | - Zixing Huang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Min Wang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Fubi Hu
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Chenyang Chen
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Ting Duan
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Jie Chen
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Likun Cao
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
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16
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Tang A, Bashir MR, Corwin MT, Cruite I, Dietrich CF, Do RKG, Ehman EC, Fowler KJ, Hussain HK, Jha RC, Karam AR, Mamidipalli A, Marks RM, Mitchell DG, Morgan TA, Ohliger MA, Shah A, Vu KN, Sirlin CB. Evidence Supporting LI-RADS Major Features for CT- and MR Imaging-based Diagnosis of Hepatocellular Carcinoma: A Systematic Review. Radiology 2018; 286:29-48. [PMID: 29166245 PMCID: PMC6677284 DOI: 10.1148/radiol.2017170554] [Citation(s) in RCA: 216] [Impact Index Per Article: 30.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
The Liver Imaging Reporting and Data System (LI-RADS) standardizes the interpretation, reporting, and data collection for imaging examinations in patients at risk for hepatocellular carcinoma (HCC). It assigns category codes reflecting relative probability of HCC to imaging-detected liver observations based on major and ancillary imaging features. LI-RADS also includes imaging features suggesting malignancy other than HCC. Supported and endorsed by the American College of Radiology (ACR), the system has been developed by a committee of radiologists, hepatologists, pathologists, surgeons, lexicon experts, and ACR staff, with input from the American Association for the Study of Liver Diseases and the Organ Procurement Transplantation Network/United Network for Organ Sharing. Development of LI-RADS has been based on literature review, expert opinion, rounds of testing and iteration, and feedback from users. This article summarizes and assesses the quality of evidence supporting each LI-RADS major feature for diagnosis of HCC, as well as of the LI-RADS imaging features suggesting malignancy other than HCC. Based on the evidence, recommendations are provided for or against their continued inclusion in LI-RADS. © RSNA, 2017 Online supplemental material is available for this article.
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Affiliation(s)
- An Tang
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Mustafa R. Bashir
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Michael T. Corwin
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Irene Cruite
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Christoph F. Dietrich
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Richard K. G. Do
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Eric C. Ehman
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Kathryn J. Fowler
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Hero K. Hussain
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Reena C. Jha
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | | | - Adrija Mamidipalli
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Robert M. Marks
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Donald G. Mitchell
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Tara A. Morgan
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Michael A. Ohliger
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Amol Shah
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Kim-Nhien Vu
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - Claude B. Sirlin
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
| | - For the LI-RADS Evidence Working Group
- From the Department of Radiology, Université de Montréal, 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2 (A.T., K.N.V.); Department of Radiology and Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); Department of Radiology, Davis Medical Center, University of California, Sacramento, Calif (M.T.C.); Inland Imaging, Spokane, Wash (I.C.); Caritas-Krankenhaus, Medizinische Klinik 2, Bad Mergentheim, Germany (C.F.D.); Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY (R.K.G.D.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.C.E.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (K.J.F.); Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (H.K.H.); Department of Radiology, American University of Beirut, Beirut, Lebanon (H.K.H.); Department of Radiology, MedStar Georgetown University Hospital, Washington, DC (R.C.J.); Department of Radiology, University of Massachusetts Medical School, Worcester, Mass (A.R.K.); Department of Radiology, Liver Imaging Group, University of California San Diego, Calif (A.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Department of Radiology, Thomas Jefferson University, Philadelphia, Pa (D.G.M.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.A.M., M.A.O.); Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.); and Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (A.S.)
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17
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Fowler KJ, Potretzke TA, Hope TA, Costa EA, Wilson SR. LI-RADS M (LR-M): definite or probable malignancy, not specific for hepatocellular carcinoma. Abdom Radiol (NY) 2018; 43:149-157. [PMID: 28580538 DOI: 10.1007/s00261-017-1196-2] [Citation(s) in RCA: 86] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
LI-RADS v2017 introduces major changes to the diagnostic criteria for LR-M observations to better guide radiologists in the use of this malignant category designation. LR-M is intended to preserve the specificity of the LI-RADS algorithm for diagnosis of HCC while not losing sensitivity for diagnosis of malignancy. The purpose of this paper is to provide a brief background on LR-M, discuss the diagnostic criteria new to v2017, special considerations for its application, and management implications.
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Affiliation(s)
- Kathryn J Fowler
- Department of Radiology, Washington University, 510 S. Kingshighway Blvd, St. Louis, MO, 63110, USA.
| | | | - Thomas A Hope
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
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18
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Wengert GJ, Baltzer PAT, Bickel H, Thurner P, Breitenseher J, Lazar M, Pones M, Peck-Radosavljevic M, Hucke F, Ba-Ssalamah A. Differentiation of Intrahepatic Cholangiocellular Carcinoma from Hepatocellular Carcinoma in the Cirrhotic Liver Using Contrast-enhanced MR Imaging. Acad Radiol 2017; 24:1491-1500. [PMID: 28756085 DOI: 10.1016/j.acra.2017.06.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2016] [Revised: 03/21/2017] [Accepted: 06/08/2017] [Indexed: 12/12/2022]
Abstract
RATIONALE AND OBJECTIVES This study aimed to investigate the potential of contrast-enhanced magnetic resonance imaging features to differentiate between mass-forming intrahepatic cholangiocellular carcinoma (ICC) and hepatocellular carcinoma (HCC) in cirrhotic livers. MATERIALS AND METHODS This study, performed between 2001 and 2013, included 64 baseline magnetic resonance imaging examinations with pathohistologically proven liver cirrhosis, presenting with either ICC (n = 32) or HCC (n = 32) tumors. To distinguish ICC form HCC tumors, 20 qualitative single-lesion descriptors were evaluated by two readers, in consensus, and statistically classified using the chi-square automatic interaction detection (CHAID) methodology. Diagnostic performance was assessed by a receiver operating characteristic analysis. RESULTS The CHAID algorithm identified three independent categorical lesion descriptors, including (1) liver capsular retraction; (2) progressive or persistent enhancement pattern or wash-out on the T1-weighted delayed phase; and (3) signal intensity appearance on T2-weighted images that could help to reliably differentiate ICC from HCC, which resulted in an AUC of 0.807, and a sensitivity and specificity of 68.8 and 90.6 (95% confidence interval 75.0-98.0), respectively. CONCLUSIONS The proposed CHAID algorithm provides a simple and robust step-by-step classification tool for a reliable and solid differentiation between ICC and HCC tumors in cirrhotic livers.
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Affiliation(s)
- Georg J Wengert
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Waehringer-Guertel 18-20, 1090Vienna, Austria.
| | - Pascal A T Baltzer
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Waehringer-Guertel 18-20, 1090Vienna, Austria
| | - Hubert Bickel
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Waehringer-Guertel 18-20, 1090Vienna, Austria
| | - Patrick Thurner
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Waehringer-Guertel 18-20, 1090Vienna, Austria
| | - Julia Breitenseher
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Waehringer-Guertel 18-20, 1090Vienna, Austria
| | - Mathias Lazar
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Waehringer-Guertel 18-20, 1090Vienna, Austria
| | - Matthias Pones
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Waehringer-Guertel 18-20, 1090Vienna, Austria
| | - Markus Peck-Radosavljevic
- Department of Internal Medicine III, Division of Gastroenterology/Hepatology, Liver Cancer (HCC)-Study Group, Medical University of Vienna, Vienna, Austria
| | - Florian Hucke
- Department of Internal Medicine III, Division of Gastroenterology/Hepatology, Liver Cancer (HCC)-Study Group, Medical University of Vienna, Vienna, Austria
| | - Ahmed Ba-Ssalamah
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Waehringer-Guertel 18-20, 1090Vienna, Austria
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19
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Sheybani A, Gaba RC, Lokken RP, Berggruen SM, Mar WA. Liver Masses: What Physicians Need to Know About Ordering and Interpreting Liver Imaging. Curr Gastroenterol Rep 2017; 19:58. [PMID: 29044439 DOI: 10.1007/s11894-017-0596-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
PURPOSE OF REVIEW This paper reviews diagnostic imaging techniques used to characterize liver masses and the imaging characteristics of the most common liver masses. RECENT FINDINGS The role of recently adopted ultrasound and magnetic resonance imaging contrast agents will be emphasized. Contrast-enhanced ultrasound is an inexpensive exam which can confirm benignity of certain liver masses without ionizing radiation. Magnetic resonance imaging using hepatocyte-specific gadolinium-based contrast agents can help confirm or narrow the differential diagnosis of liver masses.
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Affiliation(s)
- Arman Sheybani
- Department of Radiology, University of Illinois at Chicago, 1740 W Taylor St Rm 2483, MC 931, Chicago, IL, 60612, USA
| | - Ron C Gaba
- Department of Radiology, University of Illinois at Chicago, 1740 W Taylor St Rm 2483, MC 931, Chicago, IL, 60612, USA
| | - R Peter Lokken
- Department of Radiology, University of Illinois at Chicago, 1740 W Taylor St Rm 2483, MC 931, Chicago, IL, 60612, USA
| | - Senta M Berggruen
- Department of Radiology, Northwestern University, NMH/Arkes Family Pavilion Suite 800, 676 N Saint Clair, Chicago, IL, 60611, USA
| | - Winnie A Mar
- Department of Radiology, University of Illinois at Chicago, 1740 W Taylor St Rm 2483, MC 931, Chicago, IL, 60612, USA.
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20
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Fraum TJ, Tsai R, Rohe E, Ludwig DR, Salter A, Nalbantoglu ILK, Heiken JP, Fowler KJ. Differentiation of Hepatocellular Carcinoma from Other Hepatic Malignancies in Patients at Risk: Diagnostic Performance of the Liver Imaging Reporting and Data System Version 2014. Radiology 2017; 286:158-172. [PMID: 28853673 DOI: 10.1148/radiol.2017170114] [Citation(s) in RCA: 96] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Purpose To evaluate the diagnostic performance and interrater reliability of the Liver Imaging Reporting and Data System (LI-RADS) version 2014 in differentiating hepatocellular carcinoma (HCC) from non-HCC malignancy in a population of patients at risk for HCC. Materials and Methods This retrospective HIPAA-compliant institutional review board-approved study was exempt from informed consent. A total of 178 pathology-proven malignant liver masses were identified in 178 patients at risk for HCC but without established extrahepatic malignancy from August 2012 through August 2015. Two readers blinded to pathology findings and clinical follow-up data independently evaluated a liver protocol magnetic resonance or computed tomography study for each lesion and assigned LI-RADS categories, scoring all major and most ancillary features. Statistical analyses included the independent samples t test, x2 test, Fisher exact test, and Cohen k. Results This study included 136 HCCs and 42 non-HCC malignancies. Specificity and positive predictive value of an HCC imaging diagnosis (LR-5 or LR-5V) were 69.0% and 90.5%, respectively, for reader 1 (R1) and 88.3% and 95.5%, respectively, for reader 2 (R2). Tumor in vein was a common finding in patients with non-HCC malignancies (R1, 10 of 42 [23.8%]; R2, five of 42 [11.9%]). Exclusion of the LR-5V pathway improved specificity and positive predictive value for HCC to 83.3% and 92.9%, respectively, for R1 (six fewer false-positive findings) and 92.3% and 96.4%, respectively, for R2 (one fewer false-positive finding). Among masses with arterial phase hyperenhancement, the rim pattern was more common among non-HCC malignancies than among HCCs for both readers (R1: 24 of 36 [66.7%] vs 13 of 124, [10.5%], P < .001; R2: 27 of 35 [77.1%] vs 21 of 123 [17.1%], P < .001) (k = 0.76). Exclusion of rim arterial phase hyperenhancement as a means of satisfying LR-5 criteria also improved specificity and positive predictive value for HCC (R1, two fewer false-positive findings). Conclusion Modification of the algorithmic role of tumor in vein and rim arterial phase hyperenhancement improves the diagnostic performance of LI-RADS version 2014 in differentiating HCC from non-HCC malignancy. © RSNA, 2017 Online supplemental material is available for this article.
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Affiliation(s)
- Tyler J Fraum
- From the Mallinckrodt Institute of Radiology (T.J.F., R.T., E.R., D.R.L., J.P.H., K.J.F.), Division of Biostatistics (A.S.), and Department of Pathology and Immunology (I.N.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Richard Tsai
- From the Mallinckrodt Institute of Radiology (T.J.F., R.T., E.R., D.R.L., J.P.H., K.J.F.), Division of Biostatistics (A.S.), and Department of Pathology and Immunology (I.N.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Eric Rohe
- From the Mallinckrodt Institute of Radiology (T.J.F., R.T., E.R., D.R.L., J.P.H., K.J.F.), Division of Biostatistics (A.S.), and Department of Pathology and Immunology (I.N.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Daniel R Ludwig
- From the Mallinckrodt Institute of Radiology (T.J.F., R.T., E.R., D.R.L., J.P.H., K.J.F.), Division of Biostatistics (A.S.), and Department of Pathology and Immunology (I.N.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Amber Salter
- From the Mallinckrodt Institute of Radiology (T.J.F., R.T., E.R., D.R.L., J.P.H., K.J.F.), Division of Biostatistics (A.S.), and Department of Pathology and Immunology (I.N.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - ILKe Nalbantoglu
- From the Mallinckrodt Institute of Radiology (T.J.F., R.T., E.R., D.R.L., J.P.H., K.J.F.), Division of Biostatistics (A.S.), and Department of Pathology and Immunology (I.N.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Jay P Heiken
- From the Mallinckrodt Institute of Radiology (T.J.F., R.T., E.R., D.R.L., J.P.H., K.J.F.), Division of Biostatistics (A.S.), and Department of Pathology and Immunology (I.N.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Kathryn J Fowler
- From the Mallinckrodt Institute of Radiology (T.J.F., R.T., E.R., D.R.L., J.P.H., K.J.F.), Division of Biostatistics (A.S.), and Department of Pathology and Immunology (I.N.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
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21
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Cross-Sectional Imaging of Intrahepatic Cholangiocarcinoma: Development, Growth, Spread, and Prognosis. AJR Am J Roentgenol 2017; 209:W64-W75. [PMID: 28570102 DOI: 10.2214/ajr.16.16923] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE Intrahepatic cholangiocarcinoma (ICC) is a malignant tumor that arises from the intrahepatic bile ducts. Although the pathologic and imaging features of ICC have been clearly identified, recent updates have addressed the pathologic classification and imaging features of ICC using new imaging techniques. First, a proposed new pathologic ICC subclassification includes perihilar large duct and peripheral small duct ICCs. Second, advanced MR-based imaging features of ICC, such as hepatobiliary phase imaging using hepatocytespecific contrast material and DWI, have recently been described. These imaging features are important when differentiating ICCs from hepatocellular carcinomas. Finally, some imaging features of ICC, such as prominent arterial enhancement or degree of delayed enhancement, exhibit potential as prognostic imaging biomarkers. CONCLUSION Comprehensive and updated knowledge of ICC is necessary for accurate diagnosis and could facilitate prediction of clinical outcomes for patients with ICC.
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22
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Kim SY. Preoperative Radiologic Evaluation of Cholangiocarcinoma. THE KOREAN JOURNAL OF GASTROENTEROLOGY 2017; 69:159-163. [PMID: 28329917 DOI: 10.4166/kjg.2017.69.3.159] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
In patients with cholangiocarcinoma, surgical resection with curative intent is the only way to achieve cure. Since surgical resection of cholangiocarcinomas is technically demanding, determination of resectability and accurate preoperative staging are crucial. For these purposes, high quality imaging including multidetector computed tomography and magnetic resonance imaging with magnetic resonance cholangiopancreaticography, is mandatory. This article will present recent advances in imaging techniques for cholangiocarginomas, potential pitfalls in imaging evaluation, and a checklist for preoperative radiologic assessment of resectability in these patients with an emphasis on perihilar cholangiocarinoma.
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Affiliation(s)
- So Yeon Kim
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
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23
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Diagnosis of Hepatocellular Carcinoma with Gadoxetic Acid-Enhanced MRI: 2016 Consensus Recommendations of the Korean Society of Abdominal Radiology. Korean J Radiol 2017; 18:427-443. [PMID: 28458595 PMCID: PMC5390612 DOI: 10.3348/kjr.2017.18.3.427] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2016] [Accepted: 01/21/2017] [Indexed: 12/13/2022] Open
Abstract
Diagnosis of hepatocellular carcinoma (HCC) with gadoxetic acid-enhanced liver magnetic resonance imaging (MRI) poses certain unique challenges beyond the scope of current guidelines. The regional heterogeneity of HCC in demographic characteristics, prevalence, surveillance, and socioeconomic status necessitates different treatment approaches, leading to variations in survival outcomes. Considering the medical practices in Korea, the Korean Society of Abdominal Radiology (KSAR) study group for liver diseases has developed expert consensus recommendations for diagnosis of HCC by gadoxetic acid-enhanced MRI with updated perspectives, using a modified Delphi method. During the 39th Scientific Assembly and Annual Meeting of KSAR (2016), consensus was reached on 12 of 16 statements. These recommendations might serve to ensure a more standardized diagnosis of HCC by gadoxetic acid-enhanced MRI.
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24
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Rahnemai-Azar AA, Pandey P, Kamel I, Pawlik TM. Monitoring outcomes in intrahepatic cholangiocarcinoma patients following hepatic resection. Hepat Oncol 2017; 3:223-239. [PMID: 30191045 DOI: 10.2217/hep-2016-0009] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2016] [Accepted: 11/04/2016] [Indexed: 02/07/2023] Open
Abstract
Intrahepatic cholangiocarcinoma (iCCA) is one of the fatal gastrointestinal cancers with increasing incidence and mortality. Although surgery offers the only potential for cure in iCCA patients, the prognosis is not optimal with low overall survival rate and high disease recurrence. Hence, adjuvant therapy is generally recommended in the management of high-risk patients. Identifying factors associated with disease recurrence and survival of the iCCA patients after resection will improve understanding of disease prognosis and help in selecting patients who will benefit from surgical resection or stratifying them for clinical trials. Despite development of new methods for early detection of tumor recurrence, effective prognostic models and nomograms, and recent advances in management, significant challenges remain in improving the prognosis of iCCA patients.
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Affiliation(s)
- Amir A Rahnemai-Azar
- Department of Surgery, University of Washington Medical Center, University of Washington School of Medicine, Seattle, WA, USA.,Department of Surgery, University of Washington Medical Center, University of Washington School of Medicine, Seattle, WA, USA
| | - Pallavi Pandey
- Department of Surgery, Johns Hopkins Hospital, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Surgery, Johns Hopkins Hospital, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ihab Kamel
- Department of Radiology, Johns Hopkins Hospital, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Radiology, Johns Hopkins Hospital, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Timothy M Pawlik
- Department of Surgery, Wexner Medical Center, Ohio State University, Columbus, OH, USA.,Department of Surgery, Wexner Medical Center, Ohio State University, Columbus, OH, USA
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25
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Abstract
Interpreting body MRI cases can seem overwhelming to an uninitiated radiologist. The standard study includes a variety of pulse sequences, the names of which vary depending on the MR vendor. Pulse sequences may be displayed haphazardly on the picture archiving and communication system (PACS), frequently not synchronized with the imaging protocol. Adding to the complexity is the use of different gadolinium-based contrast agents, which may affect the timing and diagnostic yield of each sequence. The following introductory primer for interpreting body MRI cases is meant to create a basic framework for efficiently reviewing body MRI cases to provide high quality interpretations, fully utilizing the diagnostic information of the modality. There are 4 components that need to be mastered when interpreting body MRI cases including: (1) recognizing the key sequences in a basic body MRI protocol, (2) learning how to best display the key pulse sequences on PACS, (3) understanding the technique and clinical utility of each sequence and learning how to utilize sequences to be an "MR Pathologist", and (4) understanding the key features of the different gadolinium based contrast agents.
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26
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Channual S, Pahwa A, Lu DS, Raman SS. Enhancements in hepatobiliary imaging: the spectrum of gadolinium-ethoxybenzyl diethylenetriaminepentaacetic acid usages in hepatobiliary magnetic resonance imaging. Abdom Radiol (NY) 2016; 41:1825-41. [PMID: 27225503 DOI: 10.1007/s00261-016-0767-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Gadolinium-ethoxybenzyl diethylenetriaminepentaacetic acid (Gd-EOB-DTPA) is a unique hepatocyte-specific contrast agent approved for clinical use in the United States in 2008. Gd-EOB-DTPA-enhanced MR has shown to improve detection and characterization of hepatic lesions. Gd-EOB-DTPA is now being routinely used in daily clinical practice worldwide. Therefore, it is important for radiologists to be familiar with the potential uses and pitfalls of Gd-EOB-DTPA, which extends beyond the assessment of focal hepatic lesions. The purpose of this article is to review the various usages of Gd-EOB-DTPA in hepatobiliary MR imaging.
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Affiliation(s)
- Stephanie Channual
- Department of Radiological Sciences, Ronald Reagan UCLA Medical Center, David Geffen School of Medicine at UCLA, 757 Westwood Plaza Rm 1921H, Los Angeles, CA, 90095, USA.
| | - Anokh Pahwa
- Department of Radiological Sciences, Olive View-UCLA Medical Center, David Geffen School of Medicine at UCLA, 14445 Olive View Drive, Sylmar, CA, 91342, USA
| | - David S Lu
- Department of Radiological Sciences, Ronald Reagan UCLA Medical Center, David Geffen School of Medicine at UCLA, 757 Westwood Plaza Rm 1921H, Los Angeles, CA, 90095, USA
| | - Steven S Raman
- Department of Radiological Sciences, Ronald Reagan UCLA Medical Center, David Geffen School of Medicine at UCLA, 757 Westwood Plaza Rm 1921H, Los Angeles, CA, 90095, USA
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27
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Cieszanowski A, Podgórska J, Rosiak G, Maj E, Grudziński IP, Kaczyński B, Szeszkowski W, Milczarek K, Rowiński O. Gd-EOB-DTPA-Enhanced MR Imaging of the Liver: The Effect on T2 Relaxation Times and Apparent Diffusion Coefficient (ADC). Pol J Radiol 2016; 81:103-9. [PMID: 27026795 PMCID: PMC4792226 DOI: 10.12659/pjr.895701] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Accepted: 09/11/2015] [Indexed: 01/02/2023] Open
Abstract
Background To investigate the effect of gadoxetic acid disodium (Gd-EOB-DTPA) on T2 relaxation times and apparent diffusion coefficient (ADC) values of the liver and focal liver lesions on a 1.5-T system. Material/Methods Magnetic resonance (MR) studies of 50 patients with 35 liver lesions were retrospectively analyzed. All examinations were performed at 1.5T and included T2-weighted turbo spin-echo (TSE) and diffusion-weighted (DW) images acquired before and after intravenous administration of Gd-EOB-DTPA. To assess the effect of this hepatobiliary contrast agent on T2-weighted TSE images and DW images T2 relaxation times and ADC values of the liver and FLLs were calculated and compared pre- and post-injection. Results The mean T2 relaxation times of the liver and focal hepatic lesions were lower on enhanced than on unenhanced T2-weighted TSE images (decrease of 2.7% and 3.6% respectively), although these differences were not statistically significant. The mean ADC values of the liver showed statistically significant decrease (of 4.6%) on contrast-enhanced DW images, compared to unenhanced images (P>0.05). The mean ADC value of liver lesions was lower on enhanced than on unenhanced DW images, but this difference (of 2.9%) did not reach statistical significance. Conclusions The mean T2 relaxation times of the liver and focal liver lesions as well as the mean ADC values of liver lesions were not significantly different before and after administration of Gd-EOB-DTPA. Therefore, acquisition of T2-weighted and DW images between the dynamic contrast-enhanced examination and hepatobiliary phase is feasible and time-saving.
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Affiliation(s)
- Andrzej Cieszanowski
- 2 Department of Clinical Radiology, Medical University of Warsaw, Warsaw, Poland; Department of Radiology I, Maria Skłodowska-Curie Memorial Cancer Center, Institute of Oncology, Warsaw, Poland
| | - Joanna Podgórska
- 2 Department of Clinical Radiology, Medical University of Warsaw, Warsaw, Poland
| | - Grzegorz Rosiak
- 2 Department of Clinical Radiology, Medical University of Warsaw, Warsaw, Poland
| | - Edyta Maj
- 2 Department of Clinical Radiology, Medical University of Warsaw, Warsaw, Poland
| | - Ireneusz P Grudziński
- Department of Toxicology, Medical University of Warsaw, Faculty of Pharmacy, Warsaw, Poland
| | - Bartosz Kaczyński
- Department of Medical Informatics and Telemedicine, Medical University of Warsaw, Warsaw, Poland
| | - Wojciech Szeszkowski
- 2 Department of Clinical Radiology, Medical University of Warsaw, Warsaw, Poland
| | - Krzysztof Milczarek
- 2 Department of Clinical Radiology, Medical University of Warsaw, Warsaw, Poland
| | - Olgierd Rowiński
- 2 Department of Clinical Radiology, Medical University of Warsaw, Warsaw, Poland
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28
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Mar WA, Shon AM, Lu Y, Yu JH, Berggruen SM, Guzman G, Ray CE, Miller F. Imaging spectrum of cholangiocarcinoma: role in diagnosis, staging, and posttreatment evaluation. Abdom Radiol (NY) 2016; 41:553-67. [PMID: 26847022 DOI: 10.1007/s00261-015-0583-9] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Cholangiocarcinoma, a tumor of biliary epithelium, is increasing in incidence. The imaging appearance, behavior, and treatment of cholangiocarcinoma differ according to its location and morphology. Cholangiocarcinoma is usually classified as intrahepatic, perihilar, or distal. The three morphologies are mass-forming, periductal sclerosing, and intraductal growing. As surgical resection is the only cure, prompt diagnosis and accurate staging is crucial. In staging, vascular involvement, longitudinal spread, and lymphadenopathy are important to assess. The role of liver transplantation for unresectable peripheral cholangiocarcinoma will be discussed. Locoregional therapy can extend survival for those with unresectable intrahepatic tumors. The main risk factors predisposing to cholangiocarcinoma are parasitic infections, primary sclerosing cholangitis, choledochal cysts, and viral hepatitis. Several inflammatory conditions can mimic cholangiocarcinoma, including IgG4 disease, sclerosing cholangitis, Mirizzi's syndrome, and recurrent pyogenic cholangitis. The role of PET in diagnosis and staging will also be discussed. Radiologists play a crucial role in diagnosis, staging, and treatment of this disease.
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Affiliation(s)
- Winnie A Mar
- Department of Radiology, University of Illinois at Chicago, 1740 W Taylor St Rm 2483, MC 931, Chicago, IL, 60612, USA.
| | - Andrew M Shon
- Department of Radiology, University of Illinois at Chicago, 1740 W Taylor St Rm 2483, MC 931, Chicago, IL, 60612, USA
| | - Yang Lu
- Department of Radiology, University of Illinois at Chicago, 1740 W Taylor St Rm 2483, MC 931, Chicago, IL, 60612, USA
| | - Jonathan H Yu
- Department of Radiology, University of Illinois at Chicago, 1740 W Taylor St Rm 2483, MC 931, Chicago, IL, 60612, USA
| | - Senta M Berggruen
- Department of Radiology, Northwestern University, NMH/Arkes Family Pavilion Suite 800, 676 N Saint Clair, Chicago, IL, 60611, USA
| | - Grace Guzman
- Department of Pathology, University of Illinois at Chicago, 840 S. Wood St., Suite 130 CSN, MC 847, Chicago, IL, 60612, USA
| | - Charles E Ray
- Department of Radiology, University of Illinois at Chicago, 1740 W Taylor St Rm 2483, MC 931, Chicago, IL, 60612, USA
| | - Frank Miller
- Department of Radiology, Northwestern University, NMH/Arkes Family Pavilion Suite 800, 676 N Saint Clair, Chicago, IL, 60611, USA
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29
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Joo I, Lee JM. Recent Advances in the Imaging Diagnosis of Hepatocellular Carcinoma: Value of Gadoxetic Acid-Enhanced MRI. Liver Cancer 2016; 5:67-87. [PMID: 26989660 PMCID: PMC4789886 DOI: 10.1159/000367750] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Magnetic resonance imaging (MRI) using gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DPTA), or gadoxetic acid for short, is a hepatocyte-specific contrast agent which is now increasingly used for the detection and characterization of focal hepatic lesions, particularly in patients at high-risk of developing hepatocellular carcinomas (HCC). In fact, several recent guidelines now recognize gadoxetic acid-enhanced MRI (Gd-EOB-MRI) as the primary diagnostic imaging modality for the noninvasive diagnosis of HCC, although it must be noted that several major guidelines still include only extracellular contrast media-enhanced computed tomography and MRI. The primary merits of Gd-EOB-MRI lie in the fact that it can provide not only dynamic imaging, but also hepatobiliary phase (HBP) imaging which can lead to high lesion-to-liver contrast and give additional information regarding hepatocyte uptake via organic anion transporting polypeptides. This, in turn, allows higher sensitivity in detecting small HCCs and helps provide additional information regarding the multistep process of hepatocarcinogenesis. Indeed, many recent studies have investigated the diagnostic value of Gd-EOB-MRI for early HCCs as well as its role as a potential imaging biomarker in predicting outcome. We herein review the recent advances in the imaging diagnosis of HCCs focusing on the applications of Gd-EOB-MRI and the challenging issues that remain.
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Affiliation(s)
- Ijin Joo
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jeong Min Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea,Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea,*Jeong Min Lee, MD, Ph.D, Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 110-744 (Republic of Korea), Tel. +82 2 2072 3154, E-Mail
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30
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Park YS, Lee CH, Kim JW, Shin S, Park CM. Differentiation of hepatocellular carcinoma from its various mimickers in liver magnetic resonance imaging: What are the tips when using hepatocyte-specific agents? World J Gastroenterol 2016; 22:284-299. [PMID: 26755877 PMCID: PMC4698493 DOI: 10.3748/wjg.v22.i1.284] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2015] [Revised: 10/13/2015] [Accepted: 11/09/2015] [Indexed: 02/06/2023] Open
Abstract
Hepatocellular carcinoma is the most common primary hepatic malignant tumor. With widespread use of liver imaging, various cirrhosis-related nodules are frequently detected in patients with chronic liver disease, while diverse hypervascular hepatic lesions are incidentally detected but undiagnosed on dynamic computed tomography and magnetic resonance imaging (MRI). However, use of hepatocyte-specific MR contrast agents with combined perfusion and hepatocyte-selective properties have improved diagnostic performance in detection and characterization of focal liver lesions. Meanwhile, the enhancement patterns observed during dynamic phases using hepatocyte-specific agents may be different from those observed during MRI using conventional extracellular fluid agents, leading to confusion in diagnosis. Therefore, we discuss useful tips for the differentiation of hepatocellular carcinoma from similar lesions in patients with and without chronic liver disease using liver MRI with hepatocyte-specific agents.
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31
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Wengert GJ, Bickel H, Breitenseher J, Ba-Ssalamah A. [Primary liver tumors : hepatocellular versus intrahepatic cholangiocellular carcinoma]. Radiologe 2015; 55:27-35. [PMID: 25575724 DOI: 10.1007/s00117-014-2705-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
CLINICAL ISSUE Hepatocellular carcinoma (HCC) and intrahepatic cholangiocellular carcinoma (ICC) are the most commonly occurring and important primary liver tumors. Originating from one pluripotent liver stem cell both tumor entities can occur in a cirrhotic liver and also in patients without cirrhosis. Several risk factors have been identified as causative for both carcinomas; therefore, tumor screening is advantageous, especially for high-risk patients who could be diagnosed in an early stage to allow curative treatment. Surgical resection, interventional procedures and transplantation are available as curative treatment options when diagnosed in time. STANDARD RADIOLOGICAL METHODS Common characteristic features and morphology in cross-sectional imaging by ultrasound (US), multidetector computed tomography (CT) and magnetic resonance imaging (MRI) as well as screening aspects are presented and discussed. METHODICAL INNOVATIONS Recent findings show a better understanding of the carcinogenesis model of both liver tumors originating from one pluripotent liver stem cell. Further developments of modern cross-sectional imaging modalities, especially MRI in combination with diffusion-weighted imaging and intravenous administration of hepatocyte-specific contrast agents enable early detection, exact differentiation, staging and treatment evaluation of HCC and ICC ACHIEVEMENTS: In this article we discuss modern, multiparametric imaging modalities, which allow a complete and reliable diagnosis of the majority of these tumor entities. PRACTICAL RECOMMENDATIONS Contrast-enhanced MRI, using hepatocyte-specific contrast agents, is currently the most accurate procedure for the noninvasive diagnosis and treatment evaluation of HCC and ICC.
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Affiliation(s)
- G J Wengert
- Universitätsklinik für Radiologie und Nuklearmedizin, Allgemeines Krankenhaus, Medizinische Universität Wien, Währinger-Gürtel 18-20, 1090, Wien, Österreich,
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32
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Kim R, Lee JM, Shin CI, Lee ES, Yoon JH, Joo I, Kim SH, Hwang I, Han JK, Choi BI. Differentiation of intrahepatic mass-forming cholangiocarcinoma from hepatocellular carcinoma on gadoxetic acid-enhanced liver MR imaging. Eur Radiol 2015; 26:1808-17. [PMID: 26373763 DOI: 10.1007/s00330-015-4005-8] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2015] [Revised: 08/16/2015] [Accepted: 09/02/2015] [Indexed: 02/07/2023]
Abstract
OBJECTIVES To determine the different imaging features of intrahepatic mass-forming cholangiocarcinoma (IMCC) from hepatocellular carcinoma (HCC) on gadoxetic acid-enhanced magnetic resonance imaging (MRI). METHODS This retrospective study was institutional review board approved and the requirement for informed consent was waived. Patients who underwent gadoxetic acid-enhanced MRI with histologically confirmed IMCCs (n = 46) or HCCs (n = 58) were included. Imaging features of IMCCs and HCCs on gadoxetic acid-enhanced MRI including T2- and T1-weighted, diffusion weighted images, dynamic study and hepatobiliary phase (HBP) images were analyzed. Univariate and multivariate logistic regression analyses were performed to identify relevant differentiating features between IMCCs and HCCs. RESULTS Multivariate analysis revealed heterogeneous T2 signal intensity and a hypointense rim on the HBP as suggestive findings of IMCCs and the wash-in and "portal wash-out" enhancement pattern as well as focal T1 high signal intensity foci as indicative of HCCs (all, p < 0.05). When we combined any three of the above four imaging features, we were able to diagnose IMCCs with 94 % (43/46) sensitivity and 86 % (50/58) specificity. CONCLUSIONS Combined interpretation of enhancement characteristics including HBP images, morphologic features, and strict application of the "portal wash-out" pattern helped more accurate discrimination of IMCCs from HCCs. KEY POINTS • Analysis of enhancement characteristics helped accurate discrimination of IMCCs from HCCs. • Wash-out should be determined on the PVP of gadoxetic acid-enhanced MRI. • A hypointense rim on the HBP was a significant finding of IMCCs.
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Affiliation(s)
- Rihyeon Kim
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, Korea
| | - Jeong Min Lee
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, Korea. .,Institute of Radiation Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, Korea.
| | - Cheong-Il Shin
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, Korea
| | - Eun Sun Lee
- Department of Radiology, Chung-Ang University Hospital, 102, Heukseok-ro, Dongjak-gu, Seoul, Korea
| | - Jeong Hee Yoon
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, Korea
| | - Ijin Joo
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, Korea
| | - Seong Ho Kim
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, Korea
| | - Inpyeong Hwang
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, Korea
| | - Joon Koo Han
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, Korea.,Institute of Radiation Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, Korea
| | - Byung Ihn Choi
- Department of Radiology, Chung-Ang University Hospital, 102, Heukseok-ro, Dongjak-gu, Seoul, Korea
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Matos AP, Velloni F, Ramalho M, AlObaidy M, Rajapaksha A, Semelka RC. Focal liver lesions: Practical magnetic resonance imaging approach. World J Hepatol 2015; 7:1987-2008. [PMID: 26261689 PMCID: PMC4528273 DOI: 10.4254/wjh.v7.i16.1987] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2015] [Revised: 06/24/2015] [Accepted: 07/23/2015] [Indexed: 02/06/2023] Open
Abstract
With the widespread of cross-sectional imaging, a growth of incidentally detected focal liver lesions (FLL) has been observed. A reliable detection and characterization of FLL is critical for optimal patient management. Maximizing accuracy of imaging in the context of FLL is paramount in avoiding unnecessary biopsies, which may result in post-procedural complications. A tremendous development of new imaging techniques has taken place during these last years. Nowadays, Magnetic resonance imaging (MRI) plays a key role in management of liver lesions, using a radiation-free technique and a safe contrast agent profile. MRI plays a key role in the non-invasive correct characterization of FLL. MRI is capable of providing comprehensive and highly accurate diagnostic information, with the additional advantage of lack of harmful ionizing radiation. These properties make MRI the mainstay for the noninvasive evaluation of focal liver lesions. In this paper we review the state-of-the-art MRI liver protocol, briefly discussing different sequence types, the unique characteristics of imaging non-cooperative patients and discuss the role of hepatocyte-specific contrast agents. A review of the imaging features of the most common benign and malignant FLL is presented, supplemented by a schematic representation of a simplistic practical approach on MRI.
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Affiliation(s)
- António P Matos
- António P Matos, Fernanda Velloni, Miguel Ramalho, Mamdoh AlObaidy, Aruna Rajapaksha, Richard C Semelka, Department of Radiology, University of North Carolina, Chapel Hill, NC 27599-7510, United States
| | - Fernanda Velloni
- António P Matos, Fernanda Velloni, Miguel Ramalho, Mamdoh AlObaidy, Aruna Rajapaksha, Richard C Semelka, Department of Radiology, University of North Carolina, Chapel Hill, NC 27599-7510, United States
| | - Miguel Ramalho
- António P Matos, Fernanda Velloni, Miguel Ramalho, Mamdoh AlObaidy, Aruna Rajapaksha, Richard C Semelka, Department of Radiology, University of North Carolina, Chapel Hill, NC 27599-7510, United States
| | - Mamdoh AlObaidy
- António P Matos, Fernanda Velloni, Miguel Ramalho, Mamdoh AlObaidy, Aruna Rajapaksha, Richard C Semelka, Department of Radiology, University of North Carolina, Chapel Hill, NC 27599-7510, United States
| | - Aruna Rajapaksha
- António P Matos, Fernanda Velloni, Miguel Ramalho, Mamdoh AlObaidy, Aruna Rajapaksha, Richard C Semelka, Department of Radiology, University of North Carolina, Chapel Hill, NC 27599-7510, United States
| | - Richard C Semelka
- António P Matos, Fernanda Velloni, Miguel Ramalho, Mamdoh AlObaidy, Aruna Rajapaksha, Richard C Semelka, Department of Radiology, University of North Carolina, Chapel Hill, NC 27599-7510, United States
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Fattach HE, Dohan A, Guerrache Y, Dautry R, Boudiaf M, Hoeffel C, Soyer P. Intrahepatic and hilar mass-forming cholangiocarcinoma: Qualitative and quantitative evaluation with diffusion-weighted MR imaging. Eur J Radiol 2015; 84:1444-1451. [PMID: 26022518 DOI: 10.1016/j.ejrad.2015.05.003] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2014] [Revised: 04/11/2015] [Accepted: 05/02/2015] [Indexed: 01/08/2023]
Abstract
OBJECTIVE To qualitatively and quantitatively analyze the presentation of intrahepatic and hilar mass-forming cholangiocarcinoma with diffusion-weighted magnetic resonance imaging (DW-MRI). MATERIALS AND METHODS Twenty-eight patients with histopathologically proven mass-forming cholangiocarcinoma (hilar, n=17; intrahepatic, n=11) underwent hepatic DW-MRI at 1.5-T using free-breathing acquisition and three b-values (0,400,800s/mm(2)). Cholangiocarcinomas were evaluated qualitatively using visual analysis of DW-MR images and quantitatively with conventional ADC and normalized ADC measurements using liver and spleen as reference organs. RESULTS All cholangiocarcinomas (28/28; 100%) were visible on DW-MR images. DW-MRI yielded best conspicuity of cholangiocarcinomas than the other MRI sequences (P<0.001). Seven cholangiocarcinomas (7/11; 64%) showed hypointense central area on DW-MR images. Conventional ADC value of cholangiocarcinomas (1.042×10(-3)mm(2)/s±0.221×10(-3)mm(2)/s; range: 0.616×10(-3)mm(2)/s to 2.050×10(-3)mm(2)/s) was significantly lower than that of apparently normal hepatic parenchyma (1.362×10(-3)mm(2)/s±0.187×10(-3)mm(2)/s) (P<0.0001), although substantial overlap was found. No significant differences in ADC and normalized ADC values were found between intrahepatic and hilar cholangiocarcinomas. The use of normalized ADC using the liver as reference organ resulted in the most restricted distribution of ADC values of cholangiocarcinomas (variation coefficient=16.6%). CONCLUSION There is a trend towards a common appearance of intrahepatic and hilar mass-forming cholangiocarcinomas on DW-MRI but variations may be observed. Familiarity with these variations may improve the diagnosis of mass-forming cholangiocarcinoma.
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Affiliation(s)
- Hassan El Fattach
- Department of Abdominal Imaging, Hôpital Lariboisière, Assistance Publique-Hôpitaux de Paris, 2 rue Ambroise Paré, 75010 Paris, France.
| | - Anthony Dohan
- Department of Abdominal Imaging, Hôpital Lariboisière, Assistance Publique-Hôpitaux de Paris, 2 rue Ambroise Paré, 75010 Paris, France; Université Paris-Diderot, Sorbonne Paris Cité, 10 Avenue de Verdun, 75010 Paris, France; UMR INSERM 965-Paris 7 "Angiogenèse et recherche translationnelle", 2 rue Amboise Paré, 75010 Paris, France.
| | - Youcef Guerrache
- Department of Abdominal Imaging, Hôpital Lariboisière, Assistance Publique-Hôpitaux de Paris, 2 rue Ambroise Paré, 75010 Paris, France.
| | - Raphael Dautry
- Department of Abdominal Imaging, Hôpital Lariboisière, Assistance Publique-Hôpitaux de Paris, 2 rue Ambroise Paré, 75010 Paris, France; Université Paris-Diderot, Sorbonne Paris Cité, 10 Avenue de Verdun, 75010 Paris, France.
| | - Mourad Boudiaf
- Department of Abdominal Imaging, Hôpital Lariboisière, Assistance Publique-Hôpitaux de Paris, 2 rue Ambroise Paré, 75010 Paris, France.
| | - Christine Hoeffel
- Department of Radiology, Hôpital Robert Debré, 11 Boulevard Pasteur, 51092 Reims Cedex, France.
| | - Philippe Soyer
- Department of Abdominal Imaging, Hôpital Lariboisière, Assistance Publique-Hôpitaux de Paris, 2 rue Ambroise Paré, 75010 Paris, France; Université Paris-Diderot, Sorbonne Paris Cité, 10 Avenue de Verdun, 75010 Paris, France; UMR INSERM 965-Paris 7 "Angiogenèse et recherche translationnelle", 2 rue Amboise Paré, 75010 Paris, France.
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Neri E, Bali MA, Ba-Ssalamah A, Boraschi P, Brancatelli G, Alves FC, Grazioli L, Helmberger T, Lee JM, Manfredi R, Martì-Bonmatì L, Matos C, Merkle EM, Op De Beeck B, Schima W, Skehan S, Vilgrain V, Zech C, Bartolozzi C. ESGAR consensus statement on liver MR imaging and clinical use of liver-specific contrast agents. Eur Radiol 2015; 26:921-31. [PMID: 26194455 PMCID: PMC4778143 DOI: 10.1007/s00330-015-3900-3] [Citation(s) in RCA: 109] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2014] [Revised: 06/07/2015] [Accepted: 06/22/2015] [Indexed: 02/06/2023]
Abstract
Objectives To develop a consensus and provide updated recommendations on liver MR imaging and the clinical use of liver-specific contrast agents. Methods The European Society of Gastrointestinal and Abdominal Radiology (ESGAR) formed a multinational European panel of experts, selected on the basis of a literature review and their leadership in the field of liver MR imaging. A modified Delphi process was adopted to draft a list of statements. Descriptive and Cronbach’s statistics were used to rate levels of agreement and internal reliability of the consensus. Results Three Delphi rounds were conducted and 76 statements composed on MR technique (n = 17), clinical application of liver-specific contrast agents in benign, focal liver lesions (n = 7), malignant liver lesions in non-cirrhotic (n = 9) and in cirrhotic patients (n = 18), diffuse and vascular liver diseases (n = 12), and bile ducts (n = 13). The overall mean score of agreement was 4.84 (SD ±0.17). Full consensus was reached in 22 % of all statements in all working groups, with no full consensus reached on diffuse and vascular diseases. Conclusions The consensus provided updated recommendations on the methodology, and clinical indications, of MRI with liver specific contrast agents in the study of liver diseases. Key points • Liver-specific contrast agents are recommended in MRI of the liver. • The hepatobiliary phase improves the detection and characterization of hepatocellular lesions. • Liver-specific contrast agents can improve the detection of HCC.
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Affiliation(s)
- E Neri
- Department of Diagnostic and Interventional Radiology, University of Pisa, Pisa, Italy.
| | - M A Bali
- Department of Radiology, Hôpital Erasme, MRI Clinics, Bruxelles, Belgium
| | - A Ba-Ssalamah
- Department of Biomedical Imaging and Image-guided Therapy, The General Hospital of the Medical University of Vienna, Vienna, Austria
| | - P Boraschi
- Department of Diagnostic and Interventional Radiology, University of Pisa, Pisa, Italy
| | - G Brancatelli
- Department of Radiology, University of Palermo, Palermo, Italy
| | - F Caseiro Alves
- Medical Imaging Department and Faculty of Medicine, University Hospital of Coimbra, Coimbra, Portugal
| | - L Grazioli
- Department of Radiology, Spedali Civili di Brescia, Brescia, Italy
| | - T Helmberger
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, Klinikum Bogenhausen, Academic Teaching Hospital of the Technical University, Munich, Germany
| | - J M Lee
- Division of Abdominal Imaging, Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - R Manfredi
- Department of Radiology, University of Verona, Verona, Italy
| | - L Martì-Bonmatì
- Área Clínica de Imagen Médica, Hospital Universitario y Politécnico La Fe, Valencia, Spain
| | - C Matos
- Department of Radiology, Hôpital Erasme, MRI Clinics, Bruxelles, Belgium
| | - E M Merkle
- Klinik für Radiologie und Nuklearmedizin, Universitätsspital Basel, Basel, Switzerland
| | - B Op De Beeck
- Department of Radiology, Antwerp University Hospital, Edegem, Belgium
| | - W Schima
- Department of Diagnostic and Interventional Radiology, KH Goettlicher Heiland, Krankenhaus der Barmherzigen Schwestern and Sankt Josef-Krankenhaus, Vienna, Austria
| | - S Skehan
- Department of Radiology, St Vincent's University Hospital, Elm Park, Dublin, Ireland
| | - V Vilgrain
- Radiology Department, Assistance Publique-Hôpitaux de Paris, APHP, Hôpital Beaujon, Clichy, Paris, France
| | - C Zech
- Abteilungsleiter Interventionelle Radiologie, Klinik für Radiologie und Nuklearmedizin, Universitätsspital Basel, Basel, Switzerland
| | - C Bartolozzi
- Department of Diagnostic and Interventional Radiology, University of Pisa, Pisa, Italy
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Merkle EM, Zech CJ, Bartolozzi C, Bashir MR, Ba-Ssalamah A, Huppertz A, Lee JM, Ricke J, Sakamoto M, Sirlin CB, Ye SL, Zeng M. Consensus report from the 7th International Forum for Liver Magnetic Resonance Imaging. Eur Radiol 2015; 26:674-82. [PMID: 26070500 PMCID: PMC4747985 DOI: 10.1007/s00330-015-3873-2] [Citation(s) in RCA: 76] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2015] [Revised: 05/21/2015] [Accepted: 06/02/2015] [Indexed: 12/13/2022]
Abstract
Objectives Liver-specific MRI is a fast-growing field, with technological and protocol advancements providing more robust imaging and allowing a greater depth of information per examination. This article reports the evidence for, and expert thinking on, current challenges in liver-specific MRI, as discussed at the 7th International Forum for Liver MRI, which was held in Shanghai, China, in October 2013. Methods Topics discussed included the role of gadoxetic acid-enhanced MRI in the differentiation of focal nodular hyperplasia from hepatocellular adenoma and small hepatocellular carcinoma (HCC) from small intrahepatic cholangiocarcinoma (in patients with chronic liver disease), the differentiation of low-grade dysplastic nodule (DN) from pre-malignant high-grade DN and early HCC, and treatment planning and assessment of treatment response for patients with HCC and colorectal liver metastasis. Optimization of the gadoxetic acid-enhanced MRI protocol to gain robust arterial and hepatobiliary phase images was also discussed. Results and conclusions Gadoxetic acid-enhanced MRI demonstrates added value for the detection and characterization of focal liver lesions and shows promise in a number of new indications, including regional liver functional assessment and patient monitoring after therapy; however, more data are needed in some areas, and further developments are needed to translate cutting-edge techniques into clinical practice. Key Points • Liver-specific MRI is a fast-growing field, with many technological and protocol advancements. • Gadoxetic acid-enhanced MRI demonstrates value for detecting and characterizing focal liver lesions. • Gadoxetic acid-enhanced MRI shows promise in regional functional assessment and patient monitoring. • Further developments are needed to translate cutting-edge techniques into clinical practice.
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Affiliation(s)
- Elmar M Merkle
- Clinic of Radiology and Nuclear Medicine, University Hospital Basel, Petersgraben 4, CH-4031, Basel, Switzerland.
| | - Christoph J Zech
- Clinic of Radiology and Nuclear Medicine, University Hospital Basel, Petersgraben 4, CH-4031, Basel, Switzerland
| | | | - Mustafa R Bashir
- Department of Radiology, Duke University Medical Center, Durham, NC, USA
| | - Ahmed Ba-Ssalamah
- Department of General and Pediatric Radiology, Medical University of Vienna, Vienna, Austria
| | | | - Jeong Min Lee
- Department of Radiology, Seoul National University Hospital, Seoul, South Korea
| | - Jens Ricke
- Department of Radiology and Nuclear Medicine, Otto-von-Guericke Universität Magdeburg, Magdeburg, Germany
| | - Michiie Sakamoto
- Department of Pathology, Keio University School of Medicine, Tokyo, Japan
| | - Claude B Sirlin
- Liver Imaging Group, Department of Radiology, University of California, San Diego, California, USA
| | - Sheng-Long Ye
- Department of Hepatic Oncology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China
| | - Mengsu Zeng
- Radiologic Diagnostic Department, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China
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Intrahepatic mass-forming cholangiocarcinoma: prognostic value of preoperative gadoxetic acid-enhanced MRI. Eur Radiol 2015; 26:407-16. [DOI: 10.1007/s00330-015-3846-5] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2014] [Revised: 05/11/2015] [Accepted: 05/12/2015] [Indexed: 12/18/2022]
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38
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Joo I, Lee JM, Lee DH, Jeon JH, Han JK, Choi BI. Noninvasive diagnosis of hepatocellular carcinoma on gadoxetic acid-enhanced MRI: can hypointensity on the hepatobiliary phase be used as an alternative to washout? Eur Radiol 2015; 25:2859-68. [DOI: 10.1007/s00330-015-3686-3] [Citation(s) in RCA: 104] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2014] [Revised: 01/03/2015] [Accepted: 02/19/2015] [Indexed: 02/07/2023]
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39
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Delgado Cordón F, Vizuete del Río J, Martín-Benítez G, Ripollés González T, Martínez Pérez M. Bile duct tumors. RADIOLOGIA 2015. [DOI: 10.1016/j.rxeng.2014.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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40
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Consensus Statements From a Multidisciplinary Expert Panel on the Utilization and Application of a Liver-Specific MRI Contrast Agent (Gadoxetic Acid). AJR Am J Roentgenol 2015; 204:498-509. [PMID: 25714278 DOI: 10.2214/ajr.13.12399] [Citation(s) in RCA: 63] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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41
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Feng ST, Wu L, Cai H, Chan T, Luo Y, Dong Z, Zheng K, Li ZP. Cholangiocarcinoma: spectrum of appearances on Gd-EOB-DTPA-enhanced MR imaging and the effect of biliary function on signal intensity. BMC Cancer 2015; 15:38. [PMID: 25655565 PMCID: PMC4324426 DOI: 10.1186/s12885-015-1039-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2014] [Accepted: 01/23/2015] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND To describe the Gd-EOB-DTPA-enhanced MRI appearances of cholangiocarcinoma, and evaluate the relative signal intensities (RSIs) changes of major abdominal organs, and investigate the effect of total bilirubin (TB) levels on the RSI. METHODS 25 patients with pathologically-proven cholangiocarcinoma underwent Gd-EOB-DTPA-enhanced MRI. The visualization of the biliary system during biliary phase (BP) was observed. RSIs of the abdominal aorta (A), portal vein (V), liver (L), and spleen (S) were measured. RESULTS On hepatocellular phase (HP), exophytic tumors (n =10) and infiltrative tumors (n =10) were hypointense, polypoid tumors (n = 2) were hypointense, and combined type tumors (n = 3) had mixed appearances. While patients with normal TB levels (≤22 μmol/L, n = 12) had clear visualization of the biliary tree during BP, those with elevated TB levels (>22 μmol/L, n = 13) had obscured or no visualization. In addition, patients with normal TB levels had higher RSIA, RSIV and RSIS than those with elevated TB levels on all dynamic phases (P <0.001), and lower RSIA, RSIV and RSIS on HP and BP (P <0.001). Patients with normal TB levels had higher RSIL than those with elevated TB levels on all phases (P <0.001). CONCLUSIONS RSIs of major abdominal organs reflected underlying biliary function. Cholangiocarcinoma patients with elevated TB levels had delayed excretion of Gd-EOB-DTPA compared with patients with normal TB levels.
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Affiliation(s)
- Shi-Ting Feng
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, Guangdong, 510080, China.
| | - Ling Wu
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, Guangdong, 510080, China.
| | - Huasong Cai
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, Guangdong, 510080, China.
| | - Tao Chan
- Medical Imaging Department, Union Hospital, Hong Kong, 18 Fu Kin Street, Tai Wai, Shatin, NT, Hong Kong.
| | - Yanji Luo
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, Guangdong, 510080, China.
| | - Zhi Dong
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, Guangdong, 510080, China.
| | - Keguo Zheng
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, Guangdong, 510080, China.
| | - Zi-Ping Li
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, Guangdong, 510080, China.
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Delgado Cordón F, Vizuete Del Río J, Martín-Benítez G, Ripollés González T, Martínez Pérez MJ. Bile duct tumors. RADIOLOGIA 2015; 57:101-12. [PMID: 25554118 DOI: 10.1016/j.rx.2014.10.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2014] [Revised: 10/07/2014] [Accepted: 10/14/2014] [Indexed: 02/06/2023]
Abstract
Bile duct tumors are benign or malignant lesions which may be associated to risk factors or potentially malignant lesions. They constitute an heterogenous entities group with a different biological behavior and prognosis according to location and growth pattern. We revise the role of the radiologist in order to detect, characterize and stage these tumors, specially the importance of their classification when deciding an appropriate management and treatment.
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43
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Jhaveri KS, Hosseini-Nik H. MRI of cholangiocarcinoma. J Magn Reson Imaging 2014; 42:1165-79. [PMID: 25447417 DOI: 10.1002/jmri.24810] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2014] [Accepted: 10/21/2014] [Indexed: 12/12/2022] Open
Abstract
Cholangiocarcinomas are the second most common primary hepatobiliary tumors after hepatocellular carcinomas. They can be categorized either based on their location (intrahepatic/perihilar/extrahepatic distal) or their growth characteristics (mass-forming/periductal-infiltrating/intraductal) because they exhibit varied presentations and outcomes based on their location and or pattern of growth. The increased risk of cholangiocarcinoma in PSC necessitates close surveillance of these patients by means of imaging and laboratory measures; and because currently surgical resection is the only effective treatment for cholangiocarcinoma, the need for accurate pre-operative staging and assessment of resectability has emphasized the role of high quality imaging in management. Today magnetic resonance imaging (MRI) is the modality of choice for detection, pre-operative staging and surveillance of cholangiocarcinoma.
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Affiliation(s)
- Kartik S Jhaveri
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada.,Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital, and Women's College Hospital, Toronto, Ontario, Canada
| | - Hooman Hosseini-Nik
- Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital, and Women's College Hospital, Toronto, Ontario, Canada
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44
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Primary biliary tract malignancies: MRI spectrum and mimics with histopathological correlation. ACTA ACUST UNITED AC 2014; 40:1520-57. [DOI: 10.1007/s00261-014-0300-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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45
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Hope TA, Fowler KJ, Sirlin CB, Costa EAC, Yee J, Yeh BM, Heiken JP. Hepatobiliary agents and their role in LI-RADS. ACTA ACUST UNITED AC 2014; 40:613-25. [DOI: 10.1007/s00261-014-0227-5] [Citation(s) in RCA: 90] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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46
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Lamba R, Fananazapir G, Corwin MT, Khatri VP. Diagnostic Imaging of Hepatic Lesions in Adults. Surg Oncol Clin N Am 2014; 23:789-820. [DOI: 10.1016/j.soc.2014.07.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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47
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Roth CG, Mitchell DG. Hepatocellular carcinoma and other hepatic malignancies: MR imaging. Radiol Clin North Am 2014; 52:683-707. [PMID: 24889167 DOI: 10.1016/j.rcl.2014.02.015] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Magnetic resonance (MR) imaging surpasses all other imaging modalities in characterizing liver lesions by virtue of the exquisite tissue contrast, specificity for various tissue types, and extreme sensitivity to contrast enhancement. In addition to differentiating benign from malignant lesions, MR imaging generally discriminates between the various malignant liver lesions. Hepatocellular carcinoma constitutes most primary malignant liver lesions and usually arises in the setting of cirrhosis. Intrahepatic cholangiocarcinoma is a distant second and features distinctly different imaging features. Overall, metastases are the most common malignant liver lesions and arise from several primary neoplasms; most commonly gastrointestinal, lung, breast, and genitourinary.
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Affiliation(s)
- Christopher G Roth
- Department of Radiology, TJUH, Methodist, Thomas Jefferson University, 2301 South Broad Street, Philadelphia, PA 19148, USA.
| | - Donald G Mitchell
- Department of Radiology, Thomas Jefferson University, 1094 Main Building, 132 South 10th Street, Philadelphia, PA 19107, USA
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48
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Corona-Villalobos CP, Pawlik TM, Kamel IR. Imaging of the Patient with a Biliary Tract or Primary Liver Tumor. Surg Oncol Clin N Am 2014; 23:189-206. [DOI: 10.1016/j.soc.2013.10.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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49
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Thian YL, Riddell AM, Koh DM. Liver-specific agents for contrast-enhanced MRI: role in oncological imaging. Cancer Imaging 2013; 13:567-79. [PMID: 24434892 PMCID: PMC3893895 DOI: 10.1102/1470-7330.2013.0050] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/05/2013] [Indexed: 02/06/2023] Open
Abstract
Liver-specific magnetic resonance (MR) contrast agents are increasingly used in evaluation of the liver. They are effective in detection and morphological characterization of lesions, and can be useful for evaluation of biliary tree anatomy and liver function. The typical appearances and imaging pitfalls of various tumours at MR imaging performed with these agents can be understood by the interplay of pharmacokinetics of these contrast agents and transporter expression of the tumour. This review focuses on the applications of these agents in oncological imaging.
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Affiliation(s)
- Yee Liang Thian
- Department of Diagnostic Imaging, National University Hospital Singapore, 5 Lower Kent Ridge Road, Singapore 119074; Department of Diagnostic Radiology, Royal Marsden Hospital Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT, UK
| | - Angela M. Riddell
- Department of Diagnostic Imaging, National University Hospital Singapore, 5 Lower Kent Ridge Road, Singapore 119074; Department of Diagnostic Radiology, Royal Marsden Hospital Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT, UK
| | - Dow-Mu Koh
- Department of Diagnostic Imaging, National University Hospital Singapore, 5 Lower Kent Ridge Road, Singapore 119074; Department of Diagnostic Radiology, Royal Marsden Hospital Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT, UK
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Sugita R. Magnetic resonance evaluations of biliary malignancy and condition at high-risk for biliary malignancy: Current status. World J Hepatol 2013; 5:654-665. [PMID: 24432183 PMCID: PMC3888665 DOI: 10.4254/wjh.v5.i12.654] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2013] [Revised: 07/26/2013] [Accepted: 12/11/2013] [Indexed: 02/06/2023] Open
Abstract
Tumors of the biliary tree are relatively rare; but their incidence is rising worldwide. There are several known risk factors for bile duct cancers, and these are seem to be associated with chronic inflammation of the biliary epithelium. Herein, 2 risk factors have been discussed, primary sclerosing cholangitis and reflux of pancreatic juice into the bile duct, as seen in such as an abnormal union of the pancreatic-biliary junction because magnetic resonance imaging (MRI) is used widely and effectively in the diagnosis of these diseases. When biliary disease is suspected, MRI can often help differentiate between benignity and malignancy, stage tumors, select surgical candidates and guide surgical planning. MRI has many advantages over other modalities. Therefore, MRI is a reliable noninvasive imaging tool for diagnosis and pre-surgical evaluation of bile duct tumors. Nowadays remarkable technical advances in magnetic resonance technology have expanded the clinical applications of MRI in case of biliary diseases. In this article, it is also discussed how recent developments in MRI contributes to the diagnosis of the bile duct cancer and the evaluation of patients with risk factors affecting bile duct cancer.
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